You can use one or multiple volumes to access data directly on your machine learning experiments and jobs

Define or create a PVC

You need to define or create a PVC in the same namespace as Polyaxon CE or Polyaxon Agent.

Under the same namespace where you are deploying Polyaxon, e.g. polyaxon, create a PVC using kubectl

kubectl create -f data-pvc.yml -n polyaxon

Tip: Please visit the Kubernetes documentation to learn about persistent volumes.

Now you can use this PVC to mount data to your experiments and jobs in Polyaxon

connections:
- name: dataset1
  kind: volume_claim
  schema:
    mountPath: /plx-data
    volumeClaim: polyaxon-pvc-data

To mount the data with the read-only option:

connections:
- name: dataset1
  kind: volume_claim
  schema:
    mountPath: /plx-data
    volumeClaim: polyaxon-pvc-data
    readOnly: true

If you want ot access multiple datasets:

connections:
- name: dataset1
  kind: volume_claim
  schema:
    mountPath: /plx-dataset1
    volumeClaim: polyaxon-pvc-data1
    readOnly: true
- name: dataset2
  kind: volume_claim
  schema:
    mountPath: /plx-dataset2
    volumeClaim: polyaxon-pvc-data2
    readOnly: true

Update/Install Polyaxon CE or Polyaxon Agent deployment

You can deploy/upgrade your Polyaxon CE or Polyaxon Agent deployment with access to data on the PVC.

Access to the dataset in your experiments/jobs

To expose the connection secret to one of the containers in your jobs or services:

run:
  kind: job
  connections: [dataset1]

Or

run:
  kind: job
  connections: [dataset1, s3-dataset1]

Use the initializer to load the dataset

To use the artifacts initializer to load the dataset

run:
  kind: job
  init:
   - artifacts: [dirs: [...], files: [...]]
     connection: "dataset1"